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Accepted pytorch 1.13.1+dfsg-5 (source) into experimental



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Format: 1.8
Date: Sat, 25 Mar 2023 23:15:08 -0400
Source: pytorch
Architecture: source
Version: 1.13.1+dfsg-5
Distribution: experimental
Urgency: medium
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Changed-By: Mo Zhou <lumin@debian.org>
Changes:
 pytorch (1.13.1+dfsg-5) experimental; urgency=medium
 .
   * Overhaul the packaging for preparing different flavors of pytorch,
     which includes cpu-only (default), cuda, and rocm (not implemented yet).
   * The cuda version of control file is located at debian/control.cuda
     Lots of build dependencies are added. The cuda variant of pytorch
     must enter contrib due to non-free dependencies from Nvidia.
   * The script debian/cudabuild.sh is provided to convert the debian
     directory for the cuda build.
     * cuda: require cudnn >= 8.7.0.84~cuda11.8 for automatic build.
     * cuda: Build for CUDA architectures 6.0 7.0 8.0.
   * No longer build Caffe2 (it is already deprecated).
   * Update debian/patches to enable HAVE_SOVERSION for cuda shlibs.
   * Let the CPU/CUDA version conflicts/replaces each other.
   * Disale+Remove gflags and google-glog dependencies.
   * Update Lintian overrides.
   * watch: set dversionmangle as auto
   * copyright: Justify src:pytorch-cuda is the same source as src:pytorch.
   * rules: toggle USE_KINETO=ON
   * copyright: update
   * Patch embedded kineto to prevent further git submodule inclusion.
   * Toggle USE_DISTRIBUTED on any architecture.
   * Autopkgtest: support --cuda arg in test script.
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